Scientific and technological advances in the last two decades have exponentially increased the volume and quality of data the healthcare industry can access. It has revolutionised the type of information that can be gathered and how it can be analysed to provide insight on a scale and with levels of accuracy never seen before. 

That does not mean big data in healthcare is easy or without challenges, but it is being used to reshape the way providers, insurers, employers and, most importantly, patients interact with health services. 

As we battle a global pandemic never has efficiency while providing high levels of care mattered more.

 

The growth in use of smart and wearable devices, advances in DNA analysis and an increase in online communication means there has never before been as much personalised health related data available. Although the full potential of this has yet to be realised, medical centres, businesses and insurance companies are beginning to test its potential. For example, 23andMe profiles customers' DNA for potential health risks. The reports provide a personalised indication of the genetic diseases that run in a family and allow customers to take preventative action or prepare accordingly. A pharmaceutical company has created an app that allows diabetes patients to track their blood sugar and meals. It uses this live data to make personalised recommendations for diet and exercise for better diabetes management. 

Big data is assisting the healthcare industry by improving how patients engage with medical professionals. Where before doctors relied on patient recall and tests conducted at a specific point in time, patients can now use apps and smart devices to track their day to day wellbeing. This data can, with permission, be accessed by medical professionals to monitor patients. In time this could reduce the need for routine check-ups. 

Big data provides patients, healthcare professionals and related business with great power and with great power comes great responsibility. Getting the most out of big data brings with it some challenges:

Big data may be a game changer when it comes to global healthcare however its potential hinges on the quality of the big data the medical profession can access. If the data provided is inaccurate or outdated the conclusions drawn through analysis or machine learning are not going to be reliable.  

Health information is some of the most personal and private data individuals have on record. It is imperative health data is stored securely, used with permission and in line with authorised purposes. There is legislation covering the storage and use of personal data in most countries and these must be strictly adhered to when it comes to analysing patient records for healthcare purposes. 

To enable accurate data modelling there is a need for proper structured data. Without accurate structured data, it can be difficult to analyse and visualise the output for specific information. 

           

Although big data is leading to systemic changes in the healthcare industry, there are still challenges to be overcome before we can fully benefit from all this new strand of healthcare has to offer. 

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